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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 工業工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19734
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor蔣明晃(Ming-Huang Chiang)
dc.contributor.authorCheng-Lun Kuen
dc.contributor.author谷政倫zh_TW
dc.date.accessioned2021-06-08T02:16:04Z-
dc.date.copyright2015-12-01
dc.date.issued2015
dc.date.submitted2015-11-04
dc.identifier.citation尹佳利 (2007)《生態稅收累退效應對策》。合作經濟與科技No.15
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Bertazzi, L. and Speranza, M., (2001). Rounding procedures for the discrete version of the capacitated Economic Order Quantity problem. Annals of Operations Research, 107(1-4), 33–49.
Bonney, M., Jaber, M.Y., (2010). Environmentally responsible inventory models: non-classical models for a non-classical era. International Journal of Production Economics. 133 (1), 43–53
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Carolyn C. Pertsova (2007) Ecological Economics Research Trends
Chen, X., Benjaafar, S., El Omri, A., (2013). The carbon-constrained EOQ. Operations Research Letters. 41(2), 172–179
Cholette, S., Venkat, K., (2009). The energy and carbon intensity of wine distribu- tion: a study of logistical options for delivering wine to consumers. Journal of Cleaner Production. 17 (16), 1401–1413.
Croom, S. Romano, P. Giannakis, M. (2000). Supply chain management: an analytical framework for critical literature review. European Journal of Purchasing and Supply Management. 6(1), 67–83.
David, J.C., Cheri, S., Nathan M., (2011).Sustainability to support end-to-end value chains: the role of supply chain management. Journal of the Academy of Marketing Science 39 (1), 101-116.
DiPeso, J. (2009). Carbon tax versus cap-and-trade. Environmental Quality Management. 18(4), 95-100.
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Ganeshan, R., & Harrison, T. P. (1995). An introduction to supply chain management. Department of Management Science and Information Systems, Penn State University.
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Harris, I., Mumford C., Naim M., (2009). Multi-objective uncapacitated facility location model for Green Logistics, IEEE Congress on Evolutionary Computation, Trondheim, Norway, May 18-2
Heckert, J.B., Miner, R.B., (1940) Distribution Costs. (New York: Ronald)
Hua, G., Cheng, T.C.E., Wang, S., (2011) Managing carbon footprints in inventory management, International Journal of Production Economics, 132(2), 178~18
Hoen, K.M.R., T. Tan, J.C. Fransso, G.J. van Houtum. Effect of carbon emission regulations on transport mode selection in supply chains. Working paper. Eindhoven University of Technology.
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Kutanoglu, E., Lohiya, D., (2008). Integrated inventory and transportation mode selection: A service parts logistics system. Transportation Research Part E: Logistics and Transportation Review, 44(5), 665-683.
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McKinnon, A., 2010. Environmental sustainability: a new priority for logistics managers. In: McKinnon, A., Cullinane, S., Brown, M., Whiteing, A. (Eds.), Green Logistics: Improving the Environmental Sustainability of Logistics. Kogan Page, London, pp. 3–30.
McKinnon, A.C., Cullinane, S., Browne, M. and Whiteing, A. (2010) Green Logistics: Improving the Environmental Sustainability of Logistics. London, United Kingdom: Kogan Page.
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Sergio, U., Javier, F., Adrian, S., Francisco J.,(2014). Solving the green capacitated vehicle routing problem using a tabu search algorithm. Lecture Notes in Management Science Vol. 6: 141–149.
Srivastava, S.K., (2007) Green supply-chain managment: A state-of the-art literature review. International Journal of Management Reviews 9(1), 53-80.
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網站資料
行政院環保署台灣產品碳足跡資訊網(2015) http://cfp.epa.gov.tw/carbon/ezCFM/Function/PlatformInfo/FLConcept/FLFootIntroduction.aspx
Accenture (2009). Only one in 10 companies actively manage their supply chain carbon footprints. Accenture Study Finds <http://newsroom.accenture.com/article_display.cfm?article_id=4801 >, accessed on 20/05/2009.
Benjaafar, S., Li, Y., Daskin, M., (2010). Carbon footprint and the management of supply chains: Insights from simple models. <http://www.ie.umn.edu/faculty/faculty/pdf/beyada‐3‐31‐10.pdf >[accessed May 24, 2010].
Marintek,T ., (2000) Study of Greenhouse gas emissions from ships.
<http://unfccc.int/files/methods_and_science/emissions_from_intl_transport/application/pdf/imoghgmain.pdf>, accessed on 05/06/2010.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/19734-
dc.description.abstract由於全球暖化的加劇及環保意識的覺醒,企業為了因應此項議題迎合時代的需要,降低自身成本,減少碳排放量已成為一項重要的課題。因此不同於傳統存貨機制總以最小化總成本為導向,現在的存貨管理除了考慮成本之外,尚需考慮對於環境之影響,因此考慮碳稅的存貨管理模式也有發展之必要。
由於過去使用最適經濟訂購量(EOQ)模型對零售商方面的研究,多半僅考慮碳交易系統的構面或未考慮到載具大小運量限制的問題。有鑑於此,本研究將從零售商的觀點建構EOQ碳稅模型,從不同的碳稅課徵環境,如從量稅、累進稅率或碳排放許可權管制及載具運輸量限制的情況,來探討零售商面對碳稅壓力及載具大小限制下如何進行存貨管理,以達到存貨管理成本最小的目標。
本論文根據既有的量化方法及管制方法,考量不同的管制方式及載運條件,建構一個考量多種稅制及載運量條件下的存貨模型,最後依實務上的運作,利用一個模擬個案的數據來說明此模型的應用,觀察在不同條件下,環境衝擊對存貨管理決策的影響,藉以提出當企業面對稅制管制時,有助於決策的管理意涵。
zh_TW
dc.description.abstractOwing to the impacts of globalization of industry and shorter life cycle at this present, retailors not only do a better job on inventory management to improve customer satisfaction and reduce cost but diminish carbon dioxide emissions has begun a major problem.
The study of inventory management used to implement EOQ model, but most of studies just engaged into carbon-trade system or didn’t consider vehicle loadings. In this study, we construct an EOQ model with carbon tax regulation to examine how retailors get an equilibrium order point with a situation of different kinds of carbon tax regulation which include unit tax, cap-and-tax or cumulated tax and different kinds of vehicle loading.
In this thesis, we first put different ways of tax regulation and carrying capacity restriction into build inventory models. Next, we use a simulation example to explain how we apply these models to observe inventory management operation under various kind of regulations. Finally, we use experiment data to provide recommendations for retailors and government as references.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T02:16:04Z (GMT). No. of bitstreams: 1
ntu-104-R02546032-1.pdf: 959355 bytes, checksum: 8aa9ef3f856517470399dda0b1584b7d (MD5)
Previous issue date: 2015
en
dc.description.tableofcontents目錄
摘要 I
ABSTRACT II
目錄 III
圖目錄 VI
表目錄 VII
第一章 緒論 1
1.1 研究動機 1
1.2 研究目的 4
1.3 研究架構 4
1.4 論文架構 5
第二章 文獻探討 7
2.1 供應鏈管理 7
2.1.1 綠色供應鏈 7
2.1.2 貨物運輸 9
2.2 碳足跡 11
2.2.1 減碳政策 12
2.2.2 碳交易 13
2.2.3 碳稅 13
2.2.4 碳稅與碳交易之比較 16
2.3 存貨管理 17
2.3.1 碳排放相關之經濟最適訂購模型 17
2.4 小結 19
第三章 模型建構 21
3.1 研究問題描述 21
3.2 模型假設 21
3.3 模型符號說明 22
3.4 模型建構 23
3.4.1 碳排放量之評估方式 23
3.4.2.1 從量稅管制最小化總成本模型 24
3.4.2.2 從量稅管制最小化碳排放量模型 24
3.4.3.1 碳排放許可權最小化總成本模型 24
3.4.3.2 碳排放許可權最小化碳排放量模型 24
3.4.4.1 累進稅率管制最小化總成本模型 25
3.4.4.2 累進稅率管制最小化碳排放量模型 25
3.5 求解方法 25
第四章 數值範例與分析 26
4.1 模擬數據 26
4.2 從量稅、碳排放許可權與累進稅率之個別分析 26
4.2.1 從量稅管制最小化總成本模型及其最小碳排放量模型 26
4.2.2 碳排放許可權管制最小化總成本模型及其最小碳排放量模型 28
4.2.3 累進稅率管制最小化總成本模型及其最小化碳排放量模型 29
4.2.4 從量稅、碳排放許可權與累進稅率之個別分析小結 30
4.3 針對稅率變動於從量稅、碳排放許可權與累進稅率之個別比較小結 32
4.3.1 各碳稅管制之總成本 32
4.3.2 各碳稅管制之訂購量 33
4.3.3 各碳稅管制之總碳排放量 35
4.3.4 針對碳排放許可權與累進稅率之比較分析 36
4.3.5 從量稅、碳排放許可權與累進稅率之比較分析小結 37
第五章 結論與未來方向 39
5.1 結論 39
5.2 研究貢獻 40
5.3 研究限制 40
5.4 未來發展方向 40
第六章 參考文獻 41
dc.language.isozh-TW
dc.title考量不同碳稅與載具載運量之存貨模式zh_TW
dc.titleAn Inventory Model with Different Carbon Tax Regulations and Vehicle Loadingsen
dc.typeThesis
dc.date.schoolyear104-1
dc.description.degree碩士
dc.contributor.oralexamcommittee洪一薰(I-Hsuan Hong),吳文方(Wen-Fang Wu)
dc.subject.keyword存貨管理,最適經濟訂購量模型,載運量,碳稅,zh_TW
dc.subject.keywordInventory management,Economic Order Quantity,Carbon Tax,Vehicle carrying capacity,en
dc.relation.page45
dc.rights.note未授權
dc.date.accepted2015-11-05
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept工業工程學研究所zh_TW
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